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Unemployment duration and the length of entitlement periods for unemployment benefits: do the IAB employment subsample and the German Socio-Economic Panel yield the same results?

Author

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  • Martin Biewen
  • Ralf Wilke
Abstract
We compare information on the length of unemployment spells contained in the IAB employment subsample (IABS) and in the German Socio-Economic Panel (GSOEP). Due to the lack of information on registered unemployment in the IABS, we use two proxies of unemployment in the IABS as introduced by Fitzenberger/Wilke (2004). The first proxy comprises all periods of nonemployment after an employment spell which contain at least one period with unemployment compensation transfers. The second proxy includes all episodes between two employment spells during which an individual continuously received unemployment benefits. Estimation of standard duration models indicates that conclusions drawn from the IABS and the GSOEP differ in many cases. While the GSOEP suggests that the hazard rate has a maximum at about 12 months of nemployment, the IABS results suggest that this maximum is at about 20 months. Contrary to our GSOEP results and contrary to many results based on the GSOEP found in the literature, we find a statistically significant association between longer maximum entitlement periods of unemployment benefits (?Arbeitslosengeld?) and longer unemployment durations for men in the IABS. The results for women do not show such clear patterns. The large sample size of the IABS also allows one to trace out statistically significant effects of characteristics such as regional and industry indicators, which is generally not possible in the relatively small GSOEP.
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Suggested Citation

  • Martin Biewen & Ralf Wilke, 2005. "Unemployment duration and the length of entitlement periods for unemployment benefits: do the IAB employment subsample and the German Socio-Economic Panel yield the same results?," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 89(2), pages 209-236, June.
    • Handle: RePEc:spr:alstar:v:89:y:2005:i:2:p:209-236
    DOI: 10.1007/s10182-005-0201-1
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    Citations

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    Cited by:

    1. Lutz, Roman, 2006. "Was spricht eigentlich gegen eine private Arbeitslosenversicherung?," IAB-Discussion Paper 200624, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. repec:jns:jbstat:v:227:y:2007:i:1:p:65-86 is not listed on IDEAS
    3. Matthias S. Hertweck & Oliver Sigrist, 2012. "The Aggregate Effects of the Hartz Reforms in Germany," Working Paper Series of the Department of Economics, University of Konstanz 2012-38, Department of Economics, University of Konstanz.
    4. Lee, Sokbae & Wilke, Ralf A., 2009. "Reform of Unemployment Compensation in Germany: A Nonparametric Bounds Analysis Using Register Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(2), pages 193-205.
    5. repec:zbw:rwirep:0121 is not listed on IDEAS
    6. Bernd Fitzenberger & Ralf Wilke, 2006. "Using quantile regression for duration analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 105-120, March.
    7. Biewen, Martin & Steffes, Susanne, 2010. "Unemployment persistence: Is there evidence for stigma effects?," Economics Letters, Elsevier, vol. 106(3), pages 188-190, March.
    8. repec:iab:iabfme:200709(en is not listed on IDEAS
    9. Bachmann, Ronald & Schaffner, Sandra, 2009. "Biases in the measurement of labour market dynamics," Technical Reports 2009,12, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    10. Andrew Chesher, 2002. "Local identification in nonseparable models," CeMMAP working papers CWP05/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Haisken-DeNew, John P. & Vorell, Matthias, 2009. "Killing them with Kindness: Negative Distributional Externalities of Increasing UI Benefits," Ruhr Economic Papers 121, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    12. Müller Eva & Wilke Ralf A. & Zahn Philipp, 2007. "Beschäftigung und Arbeitslosigkeit älterer Arbeitnehmer / Employment and Unemployment of the Elderly: Eine mikroökonometrische Evaluation der Arbeitslosengeldreform von 1997 / A Microeconometric Evalu," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 227(1), pages 65-86, February.
    13. Hendrik Jürges, 2007. "Unemployment, life satisfaction and retrospective error," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(1), pages 43-61, January.
    14. Rothe, Thomas & Wälde, Klaus, 2017. "Where did all the unemployed go? : Non-standard work in Germany after the Hartz reforms," IAB-Discussion Paper 201718, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    15. Joerg Heining & Joerg Lingens, 2000. "Social Interaction in Regional Labour Markets," Regional and Urban Modeling 283600034, EcoMod.
    16. Wilke, Ralf A. & Wichert, Laura, 2005. "Application of a simple nonparametric conditional quantile function estimator in unemployment duration analysis," ZEW Discussion Papers 05-67 [rev.], ZEW - Leibniz Centre for European Economic Research.
    17. John P. Haisken-DeNew & Matthias Vorell, 2009. "Killing them with Kindness: Negative Distributional Externalities of Increasing UI Benefits," Ruhr Economic Papers 0121, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    18. Wichert, Laura & Wilke, Ralf A., 2007. "Simple nonparametric estimators for unemployment duration analysis," FDZ Methodenreport 200709_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    More about this item

    Keywords

    unemployment duration; duration analysis; unemployment insurance; administrative data; JEL C24; J64; J65;
    All these keywords.

    JEL classification:

    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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